3-day longest streak
Hi there 👋 Visit me at www.bhaskartripathi.com for more details. ⚙️ My GitHub Statistics For collaborations and discussions, book a meeting with me: Schedule Here 🤝🏻 Contact Me My Machine…
Hi there 👋
Visit me at www.bhaskartripathi.com for more details.⚙️ My GitHub Statistics
For collaborations and discussions, book a meeting with me:
Schedule Here
🤝🏻 Contact Me
My Machine Learning experience
mermaid
mindmap
root{{BHASKAR TRIPATHI : Machine Learning Experience}}
(Deep Learning)
Convolutional Neural Networks (CNNs)
Recurrent Neural Networks (RNNs)
Generative Adversarial Networks (GANs)
Autoencoders
Transformers
Deep Reinforcement Learning
(Supervised Learning)
Classification
Regression
Emsemble Methods based on problem type
(Unsupervised Learning)
Clustering
Principal Component Analysis (PCA)
Independent Component Analysis (ICA)
t SNE
Self Organizing Maps (SOMs)
Generative Models
(Natural Language Processing)
Text Classification
Named Entity Recognition (NER)
Sentiment Analysis
Language Models
Neural Machine Translation
(Time Series Analysis)
Most econometric methods like ARIMA,ARCH/GARCH family,VAR models
Smoothing Methods
Filtering : Kalman, Savitzky Golay etc
Emprical Mode Decomposition : EMD, CEEMDAN, my own Adaptive methods
Wavelet Analysis
Spectral Analysis : Analysis of EEG Data
(Entropy and Information Theory)
Permutation Entropy
Approximate Entropy
Sample Entropy
Lempel Ziv Complexity
Mutual Information
Shannon Entropy
My own Hybrid Methods
Multi Scale Entropy
My overall experience Summary
mermaid
mindmap
root{{BHASKAR TRIPATHI : Overall Experience}}
(REPORTING/ETL/ DATALAKES)
Hyperion 9.0 (Oracle BI)
Qlikview
Tableau
ArcGIS Spatial Analytics
Databricks
Azure Data Factory
Confluent
Snowflake
Azure SQL
(STATISTICAL PACKAGES)
MATLAB
SPSS
SAS
SQL
R
Python
Hadoop/Spark
HIVE
(Cloud Data)
Azure Data factory
Azure SQL
Snowflake
Databricks
Data Lakes on Cloud
(CLOUD ML)
Aluxio
Azure Machine Learning Studio
AWS & Glue
Google Cloud Platform (GCP)
Alibaba Cloud PAI studio
(DATABASE)
MS SQL Server
Sybase IQ
Oracle
Microsoft SQL Server Analysis Services (SSAS)
Microsoft SSRS
(AI/MACHINE LEARNING/DEEP LEARNING LIBRARIES)
Azure ML
Tensorflow 2.0
Pytorch
Keras
Spark
Transformers
Convex optimization libraries
Google Operations Research toolkit
Hybrid Neural Network models with LSTM, ANN, CNN, GAN, Attention based networks etc.
(PRODUCT AND CONSULTING SPECIALIZATION)
Product strategy
Requirements
Discovery
Implementation
UAT
Business process optimization
Strong Data Engineering Practices
Cloud Consultancy
Applied mathematical optimization
Product Quality
Product roadmap
Streaming Databases
Algorithmic trading
Retail
(GLOBAL EXPERIENCE)
United States
Canada
Asia Pacific markets
China
My Experience in Mathematical Optimization
mermaid
mindmap
root{{BHASKAR TRIPATHI : Optimization & Evolutionary Algo experience}}
(Mathematical Optimization)
Dynamic Programming
Quadratic Programming
Convex Optimization
Combinatorial Optimization
Bayesian Optimization
Tree Parzen Optimization (Single and MOPSO)
(Evolutionary Algorithms)
Genetic Algorithm
Particle Swarm Optimization
Ant Colony Optimization
Differential Evolution
Simulated Annealing
Grey Wolf Optimization
Hybrid Memetic Algorithms
(Optimization)
Single Objective Benchmark functions
Multi Objective Benchmark funtions
Worked on more than 100+ benchmark functions
Pick Path Optimization
Pegion Hole Optimization
(Metaheuristics)
Tabu Search
Greedy Algorithms
Hill Climbing
Local Search
Randomized Algorithms
Simulated Annealing
Tabu Search
(Reinforcement Learning)
Single Agent RL
Multi Agent RL
Multi Criteria Optimization with MARL
Recurrent RL
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Text2Diagram ★ PINNED
Text2Diagram is an AI based diagramming tool that uses Natural language text to create diagrams.
TypeScript ★ 340 1y agoExplain → -
pdfGPT ★ PINNED
PDF GPT allows you to chat with the contents of your PDF file by using GPT capabilities. The most effective open source solution to turn your pdf files in a chatbot!
Python ★ 7.2k 3mo agoExplain → -
GWOSVR ★ PINNED
Sanitized Grey Wolf Optimizer(SGWO)-Support Vector Regressor (SVR)
Python ★ 81 3y agoExplain → -
LLM_Quantization ★ PINNED
This repository helps to Quantize large language models with a simple no-code interface
Python ★ 8 1y agoExplain → -
TypeTruth ★ PINNED
TypeTruth is a Python library that detects whether a text is written by a human or AI. Ideal for fact-checking and content validation in the age of AI content generators.
Jupyter Notebook ★ 80 2y agoExplain → -
EntropyHub ★ PINNED ⑂
An open-source toolkit for entropic time-series analysis.
★ 0 3y agoExplain → -
HypothesisHub
An AI Tool for Automated Research Question and Hypothesis Generation from a given Scientific Literature
Jupyter Notebook ★ 37 3y agoExplain → -
CEEMDAN_LSTM
An advancement on the EEMD method, Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) allows for a granular spectral separation of the Intrinsic Mode Functions and a more precise reconstruction of the original signal (IMFs)
Python ★ 27 3y agoExplain → -
pyviralcontent
A package for analyzing content readability and virality potential.
Jupyter Notebook ★ 16 2y agoExplain → -
graphGita
First scientific re-interpretation of Bhagwad Gita with Knowledge Graphs improved with Monte Carlo Tree Search
Jupyter Notebook ★ 11 1y agoExplain → -
Journalfinder
The Scientific Journal Finder suggests the best matching journals for a given research paper.
Python ★ 9 3y agoExplain → -
paywallend ⑂
Web application for Freedium.cfd
★ 9 2y agoExplain → -
FusionGPT
The OpenAI API has a token limit of 4K per request. This application addresses this limitation by dividing large text requests into smaller parts, each processed as a separate API request. The resulting responses are combined and presented to the user in their entirety. The approach enhances manageability and ensures adherence to the token limit.
JavaScript ★ 7 3y agoExplain → -
Cryptodata_Coinbase_Kraken_Binance
This repository downloads the historical data from Coinbase. The coinbase API only supports 300 records. We harvest the data incrementally
Jupyter Notebook ★ 6 2y agoExplain → -
BenchmarkFunctions
This is a running list of benchmark functions for Single and Multi-Objective Optimization problems
Python ★ 6 1y agoExplain → -
D2_playgorund_Examples
No description.
★ 6 3y agoExplain → -
Randomwalks
Random Walk strategies for optimization algorithms using Low-Discrepancy Sequences and quasi-Monte Carlo simulations
Python ★ 4 5y agoExplain → -
bhaskartripathi
Personal website - It appears like an Ubuntu simulation
JavaScript ★ 4 1y agoExplain → -
AskLisa
Ask Lisa is an AI powered chatbot experiment that provides users with animated video responses to their questions using OpenAI. Ask anything, from general knowledge, advice, to fun facts and play the video responses.
Python ★ 4 3y agoExplain → -
how_to_read_research_papers
How to read research papers
★ 3 4y agoExplain → -
CitationFinder
The project aims to automate the process of generating relevant citations for a given text and conducting literature review for researchers.
Jupyter Notebook ★ 3 3y agoExplain → -
YouTube2Tweets
YouTube2Tweets converts any YouTube video content into a series of informative and engaging tweets.
Jupyter Notebook ★ 3 2y agoExplain → -
Scientific_computing_libraries
Some of the most efficient libraries for Scientific Computation
HTML ★ 3 3y agoExplain → -
Indian_national_anthem
Indian national anthem on Aurdino
C++ ★ 3 5y agoExplain → -
financial-machine-learning ⑂
A curated list of practical financial machine learning (FinML) tools and applications in Python (by @firmai)
★ 3 5y agoExplain → -
tripathi_sharma_sequence
Quasi Monte Carlo Low Discrepancy Sequence
Python ★ 2 1y agoExplain → -
sceneGraphs
How Scene Graphs Transform Images into Rich Visual Narratives
Jupyter Notebook ★ 2 1y agoExplain → -
avtartalk ⑂
Text2VideoSpeech library by animating a GIF file to speech using TTS
JavaScript ★ 2 3y agoExplain → -
scientific_writing
Golden Rules of Scientific Writing | My Personal list of experiences
★ 2 2y agoExplain → -
bhaskatripathi
No description.
★ 2 2y agoExplain → -
AlpacaLoraLLaMA
No description.
Jupyter Notebook ★ 2 1y agoExplain → -
MurphysLawofAI
Murphy's law famously proclaims, "Anything that can go wrong, will go wrong." Drawing inspiration from this, I've adapted Murphy's timeless wisdom to encapsulate the unique challenges and unexpected pitfalls encountered in Machine Learning and Neural Networks in real-world production environments.
★ 2 2y agoExplain → -
Interpolation
Interpolate missing values in any data using Cubic Spline Method. The code iterates over all the files in a directory, reads each files, applies interpolation and finally dumps the output file in another directory
Python ★ 2 6y agoExplain → -
TensorCraft
TensorCraft is a Python library to simplify the process of building, training, and deploying neural networks using TensorFlow. It is a high level wrapper like Keras on top of tensorflow
Python ★ 2 2y agoExplain → -
PSOFeatureSelection ⑂
A Particle Swarm Optimization (PSO) for Feature Selection. Using PySwarm.
Jupyter Notebook ★ 2 8y agoExplain → -
pytorch-tensorflow-gpu-setup
pytorch-tensorflow-gpu-setup
★ 1 1y agoExplain → -
SriYantra
Latex code for SriYantra
TeX ★ 1 7mo agoExplain → -
Cryptocurrency-Derivatives
Cryptocurrency-Derivatives
Python ★ 1 4mo agoExplain → -
MCP_Financial_Forecasting
A Model Context Protocol (MCP) server that provides an ML based financial forecasting capabilities with OpenAI-powered interpretation and explanation.
Python ★ 1 1y agoExplain → -
difyAgents
No description.
★ 1 1y agoExplain → -
dify-sandbox-py
No description.
Python ★ 1 1y agoExplain → -
RamayanaGPT
No description.
Jupyter Notebook ★ 1 3y agoExplain → -
llmLeaderboard360
https://huggingface.co/spaces/bhaskartripathi/llm_leaderboards360
★ 1 1y agoExplain → -
Minddoctor
A mental health and well being assistant
TypeScript ★ 1 3y agoExplain → -
Machine-Learning ⑂
No description.
★ 1 12y agoExplain → -
tink ⑂
Tink is a small crypto library that provides a safe, simple, agile and fast way to accomplish some common crypto tasks. It is written by a group of cryptographers and security engineers at Google, but it is not an official Google product.
★ 1 6y agoExplain → -
chatbot-ui ⑂
An open source ChatGPT UI.
★ 1 3y agoExplain → -
dalle-playground ⑂
A playground to generate images from any text prompt using Stable Diffusion (past: using DALL-E Mini)
★ 1 3y agoExplain → -
pyswarms ⑂
A research toolkit for particle swarm optimization in Python
Python ★ 1 7y agoExplain → -
PolicyAlgebra
No description.
★ 0 2d agoExplain → -
ExG_Playground
No description.
★ 0 2mo agoExplain → -
deepmind-research ⑂
This repository contains implementations and illustrative code to accompany DeepMind publications
★ 0 4y agoExplain → -
LSTM_Univariate_chickenpox_Prediction
LSTM (Univariate, Multi-step) - Time Series forecasting of Chickenpox cases
★ 0 5y agoExplain → -
MyPhDBookshelf
This repository contains detailed notes and summaries of readings crafted during the Ph.D. journey
★ 0 1y agoExplain → -
demo-kg-build ⑂
demo app for Knowledge Graph Build with LLM LlamaIndex and NebulaGraph
HTML ★ 0 1y agoExplain → -
TBGW
TBGW Geometrical Shape
TeX ★ 0 3y agoExplain → -
Text2Question
Text2Question Generation with Text-to-Text-Transfer-Transformer
Python ★ 0 3y agoExplain → -
MathBlackBox ⑂
No description.
★ 0 1y agoExplain → -
deep_learning_book ⑂
Understanding Deep Learning - Simon J.D. Prince
Jupyter Notebook ★ 0 2y agoExplain → -
MuseEEGRecord ⑂
Muse 2016 + Web Bluetooth demo app in Angular
★ 0 8y agoExplain → -
EEG-Based-Emotion-Recognition-on-DEAP ⑂
No description.
★ 0 5y agoExplain → -
EEG-Emotion-classification ⑂
No description.
★ 0 7y agoExplain → -
kubernetes-demo ⑂
No description.
★ 0 3y agoExplain → -
eimenhmdt ⑂
Config files for my GitHub profile.
★ 0 3y agoExplain → -
bhaskatripathi.github.io ⑂
About Me
JavaScript ★ 0 3y agoExplain → -
C4-PlantUML ⑂
C4-PlantUML combines the benefits of PlantUML and the C4 model for providing a simple way of describing and communicate software architectures
★ 0 3y agoExplain → -
aws-icons-for-plantuml ⑂
PlantUML sprites, macros, and other includes for Amazon Web Services services and resources
★ 0 3y agoExplain → -
Hidden-Layers-Neurons ⑂
No description.
Jupyter Notebook ★ 0 3y agoExplain → -
galactica ⑂
Model API for GALACTICA
★ 0 3y agoExplain → -
madhubani_paintings_generator
No description.
★ 0 3y agoExplain → -
muse2-neuromore ⑂
A small script that split differents signals from muse vía OSC
★ 0 6y agoExplain → -
EEG-Datasets ⑂
A list of all public EEG-datasets
★ 0 4y agoExplain → -
awesome-production-machine-learning ⑂
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
★ 0 6y agoExplain → -
rl-baselines3-zoo ⑂
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
★ 0 4y agoExplain → -
openvswitch.github.io ⑂
Repo for main OVS web site.
★ 0 4y agoExplain → -
ccxt ⑂
A JavaScript / Python / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges
★ 0 4y agoExplain → -
astarag_mohapatra.github.io ⑂
No description.
★ 0 4y agoExplain → -
Data_Science_AI_Conferences_Calendar
No description.
★ 0 4y agoExplain → -
deep-learning-time-series ⑂
List of papers, code and experiments using deep learning for time series forecasting
★ 0 4y agoExplain → -
sp500-stock-similarity-time-series ⑂
Improve S&P 500 stock price prediction (random forest and gradient boosting trees) with time series similarity measurements: DTW, SAX, co-integration, Euclidean and Pearson.
★ 0 6y agoExplain → -
Wrapper-Feature-Selection-Toolbox-Python ⑂
This toolbox offers 13 wrapper feature selection methods (PSO, GA, GWO, HHO, BA, WOA, and etc.) with examples. It is simple and easy to implement.
★ 0 5y agoExplain → -
EEMD-LSTM-DO-Prediction ⑂
EEMD(集合经验模态分解)、LSTM(长短时记忆网络)、time series prediction(时间序列预测)、DO(dissolved oxygen,溶解氧)、Deep Learning
★ 0 4y agoExplain → -
deeplearning_timeseries ⑂
Deep Learning + Time Series Analysis
★ 0 7y agoExplain → -
swarmlib ⑂
This repository implements several swarm optimization algorithms and visualizes them. Implemented algorithms: Particle Swarm Optimization (PSO), Firefly Algorithm (FA), Cuckoo Search (CS), Ant Colony Optimization (ACO) and Artificial Bee Colony (ABC)
★ 0 6y agoExplain →
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