Shishir Patil

Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)

A UC Berkeley research project that trains and benchmarks AI models to accurately call external APIs and functions, including a drop-in replacement for OpenAI function calling and a live leaderboard.

ML model training for edge devices

Matlab function to generate the Pearson Product-Moment Correlation Coefficient

🔥 Blazing fast bulk data transfers between any cloud 🔥

Gamepad Test: Test your gaming controllers

resources about federated learning and privacy in machine learning

RAD: Reinforcement Learning with Augmented Data

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

A list of awesome compiler projects and papers for tensor computation and deep learning.

HF Open source codebase powering the HuggingChat app

Repo for external large-scale work

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Starting point and shared code for Nordic nRF52x Thread/BLE platforms.

A collection of work related to COVID-19

This Alexa Skills Kit sample skill shows how to build a simple skill called Cake Time that counts down the number of days until the customer's birthday.

Organize PyTorch Experiments

Bot Frost

This code reproduces performance of the NB-SVM on the IMDB reviews from the paper: Sida Wang and Christopher D. Manning: Baselines and Bigrams: Simple, Good Sentiment and Topic Classification; ACL 2012. http://nlp.stanford.edu/pubs/sidaw12_simple_sentiment.pdf

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This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.

Draw datasets from within Jupyter.

Historic Tale Construction Kit - opensource and customizable version !

Throughput-oriented systems for large language models on commodity GPUs.

Source code for Twitter's Recommendation Algorithm

Graduate Computer Networks

Website

Export utility for unconstrained channel pruned models

HF Large Language Model Text Generation Inference

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Utilities intended for use with Llama models.

OTA for ESP-12