1-day current streak·13-day longest streak
Hello ! I am a data scientist with extensive experience in building and deploying machine learning models, particularly in the fields of natural language processing (NLP) and computer vision. Passionate…
Hello ! I am a data scientist with extensive experience in building and deploying machine learning models, particularly in the fields of natural language processing (NLP) and computer vision. Passionate about leveraging the power of large language models (LLMs) and generative AI to solve complex real-world problems. Proven ability to lead projects, mentor junior team members, and deliver impactful results.
My expertise includes:
- Large Language Model (LLM) Engineering: Developing, fine-tuning, and deploying LLMs for various applications, including agent deployment, textual data extraction, and guided generation. I'm proficient in utilizing different LLM architectures and APIs.
- Computer Vision: Building and deploying models for tasks such as image classification, image-to-image translation, and object detection. Experience with both traditional and cutting-edge diffusion model techniques.
- Machine Learning Engineering: Designing, implementing, and deploying scalable and robust machine learning pipelines using cloud platforms (e.g., GCP). Proficient in CI/CD methodologies.
- NLP: Expertise in tasks such as named entity recognition (NER), sentiment analysis, and text classification.
- [A Simple LLM Agent Deployment Tutorial](https://medium.com/data-science/a-simple-llm-agent-deployment-tutorial-b468d0a98bc5)
- [An Agentic Approach to Textual Data Extraction Using LLMs and LangGraph](https://medium.com/data-science/an-agentic-approach-to-textual-data-extraction-using-llms-and-langgraph-8abb12af16f2)
- How Much Data Do You Need to Fine-Tune Gemini?
Social media:
- Medium: https://medium.com/@CVxTz
- Linkedin: https://www.linkedin.com/in/mansar/
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image_search_engine ★ PINNED
Image search engine
Python ★ 235 3y agoExplain → -
time_series_forecasting ★ PINNED
No description.
Python ★ 203 4y agoExplain → -
ECG_Heartbeat_Classification ★ PINNED
CNN for heartbeat classification
Python ★ 173 7y agoExplain → -
EEG_classification ★ PINNED
EEG Sleep stage classification using CNN with Keras
Python ★ 186 2y agoExplain → -
audio_classification ★ PINNED
CNN 1D vs 2D audio classification
Jupyter Notebook ★ 107 7y agoExplain → -
medical_image_segmentation ★ PINNED
Medical image segmentation ( Eye vessel segmentation)
Python ★ 138 6y agoExplain → -
document_ai_agents
A set of re-usable AI agent for document processing
Jupyter Notebook ★ 98 1y agoExplain → -
recommender_transformer
No description.
Python ★ 82 5y agoExplain → -
graph_classification
Learning from graph data using Keras
Python ★ 64 7y agoExplain → -
music_genre_classification
music genre classification : LSTM vs Transformer
Python ★ 62 3y agoExplain → -
rubiks_cube
Rubik's Cube solver using reinforcement learning
Python ★ 56 2y agoExplain → -
kinship_prediction
Deep Neural Networks for Kinship prediction using face photos
Python ★ 47 7y agoExplain → -
COLA_pytorch
COLA contrastive pre-training method implemented in PyTorch
Python ★ 44 5y agoExplain → -
face_age_gender
Can we predict the age and gender of someone given a picture of their face ?
Python ★ 43 2y agoExplain → -
DeepTabular
No description.
Python ★ 37 5y agoExplain → -
IntegratedGradientsPytorch
Integrated gradients attribution method implemented in PyTorch
Python ★ 27 5y agoExplain → -
sudoku_solver
Solving a Sudoku Puzzle from a screenshot
Python ★ 25 3y agoExplain → -
fingerprint_denoising
U-Net for fingerprint denoising
Python ★ 24 3y agoExplain → -
distill-llm
No description.
Python ★ 21 2y agoExplain → -
llm-serve-tutorial
No description.
Python ★ 20 2y agoExplain → -
RL
RL algorithm implementations from scratch.
Python ★ 17 5y agoExplain → -
FastImageClassification
A Step-By-Step tutorial to build and deploy an image classification API
Python ★ 15 3y agoExplain → -
opentelemetry-langgraph-langchain-example
Example using OpenTelemetry to instrument a FastAPI / LangGraph / Langchain application
Python ★ 12 1y agoExplain → -
Recommender_keras
Basic recommendation system for Movilens dataset using Keras
Python ★ 12 7y agoExplain → -
xumi
No description.
Python ★ 9 3y agoExplain → -
llmclassifier
LLM classification helper
Python ★ 8 1y agoExplain → -
travel_dataset
Agentic Wikipedia parsing
Python ★ 7 1y agoExplain → -
celery_ml_deploy
No description.
Python ★ 7 2y agoExplain → -
easy_llm_agent_deploy
One line llm agent deployment based on langgraph.
Python ★ 6 1y agoExplain → -
nicegui_tutorial
No description.
Python ★ 6 2y agoExplain → -
ner_playground
No description.
Python ★ 6 3y agoExplain → -
TagSuggestionImages
Suggest multiple Tags/Labels that better fit an image
Python ★ 5 4y agoExplain → -
gcp_model_deploy_example
No description.
Python ★ 5 4y agoExplain → -
handwriting_forensics
No description.
Python ★ 5 3y agoExplain → -
knowledge_distillation
Knowledge Distillation
Python ★ 5 3y agoExplain → -
retrieval_augmented_classification
No description.
Python ★ 4 1y agoExplain → -
code_search
No description.
Python ★ 4 4y agoExplain → -
LLM-Voice
No description.
Python ★ 4 2y agoExplain → -
active_learning
Active Learning Applied to image and tabular data
Python ★ 4 3y agoExplain → -
gaussian_splatting_recipe
No description.
Python ★ 3 22h agoExplain → -
doc-llm
No description.
Python ★ 3 2y agoExplain → -
malignancy_detection
malignancy detection using CNNs with Keras
Python ★ 3 7y agoExplain → -
learning_to_abstain
Know what you don't know
Python ★ 3 3y agoExplain → -
constrained_llm_generation
No description.
Python ★ 2 2y agoExplain → -
bleach_bot
No description.
Python ★ 2 3y agoExplain → -
ingredient_extraction
No description.
Python ★ 2 1y agoExplain → -
interpretable_nlp
No description.
Python ★ 2 4y agoExplain → -
ReconstructionAuxLoss
Improve Neural Network's Generalization Performance By Adding an Unsupervised Auxiliary Loss - Pytorch Lightning
Python ★ 2 5y agoExplain → -
Hands-On-Docker-for-Microservices-with-Python ⑂
Hands-On Docker for Microservices with Python, published by Packt
★ 1 5y agoExplain → -
dimensionality_reduction
No description.
HTML ★ 1 9y agoExplain → -
streamlit_demo
No description.
Python ★ 1 3y agoExplain → -
ToyImageClassificationDataset
Toy Image Classification Dataset Annotated with Labelme
Python ★ 1 5y agoExplain → -
nicegui ⑂
Create web-based user interfaces with Python. The nice way.
Python ★ 0 10mo agoExplain → -
ai_agent_evaluation_ci
Example of evaluation of AI agent or Workflow in CI
Python ★ 0 11mo agoExplain → -
book_qa_tool
Generate random question and answers from a folder of pdfs
Python ★ 0 1y agoExplain → -
CVxTz
No description.
★ 0 1y agoExplain → -
generative_ai_system_design
Generative AI System Design + Implementation
HTML ★ 0 1y agoExplain → -
assistant_mes_droits
No description.
Python ★ 0 1y agoExplain → -
tiny_lama_tuning
No description.
Python ★ 0 2y agoExplain → -
few-shot-image-classification
No description.
Jupyter Notebook ★ 0 3y agoExplain → -
PaperTags
No description.
Python ★ 0 3y agoExplain → -
prefect_mlops
No description.
★ 0 4y agoExplain → -
system-design ⑂
High-level system design and object-oriented design
★ 0 5y agoExplain → -
product_classification
No description.
Jupyter Notebook ★ 0 4y agoExplain → -
molecule_properties_from_smiles
No description.
Python ★ 0 5y agoExplain → -
awesome-interviews ⑂
:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:
★ 0 10y agoExplain → -
Hands-on-Microservices-with-Python ⑂
Hands-on Microservices with Python [ video], published by Packt
★ 0 5y agoExplain → -
my_freecodecamp_log
FreeCodeCamp Tutorials
HTML ★ 0 6y agoExplain → -
Regression-example
No description.
Jupyter Notebook ★ 0 9y agoExplain → -
keras_model_aws_ec2
Example of deploying a keras model to an aws ec2 Instance
Python ★ 0 3y agoExplain →
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