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Python bindings to the Tree-sitter parsing library
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
Machine Learning Engineering Open Book
Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines
Various installation guides for Large Language Models
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
Contains Company Wise Questions sorted based on Frequency and all time
A framework for few-shot evaluation of language models.
A pipeline to improve skills of large language models
Code for the paper "Evaluating Large Language Models Trained on Code"
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
[NeurIPS 2023] We use large language models as commonsense world model and heuristic policy within Monte-Carlo Tree Search, enabling better-reasoned decision-making for daily task planning problems.
Official PyTorch implementation of DistiLLM: Towards Streamlined Distillation for Large Language Models (ICML 2024)
InstructCoder (former name:Codelnstruct) enables LLMs to edit code
A collection of modular datasets generated by GPT-4, General-Instruct - Roleplay-Instruct - Code-Instruct - and Toolformer
The evaluation pipeline for the 2024 BabyLM Challenge.
A simple implementation of automatic differentiation.
🚀 Efficiently (pre)training foundation models with native PyTorch features, including FSDP for training and SDPA implementation of Flash attention v2.
The WeightWatcher tool for predicting the accuracy of Deep Neural Networks
The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens.
Hands-on Reinforcement Learning with PyTorch, published by [Packt]
Author's PyTorch implementation of TD3 for OpenAI gym tasks
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms