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Reasoning in Large Language Models: Papers and Resources, including Chain-of-Thought and OpenAI o1 🍓

Foundation Models for Video Understanding: A Survey

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

DCNv3: Towards Next Generation Deep Cross Network for Click-Through Rate Prediction

A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io

Anonymous MiniApp Messenger Powered By E2E Encryption (AES + RSA)

Efficient Triton Kernels for LLM Training

⭐ Vim for Visual Studio Code

A curated list of awesome open-source libraries for production LLM

Utilities intended for use with Llama models.

structured outputs for llms

Structured Text Generation

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

Repository hosting code used to reproduce results in "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).

Code release for "Learning Video Representations from Large Language Models"

Drag & drop UI to build your customized LLM flow

Generate subtitles, summaries, and chapters from videos in seconds

Unified Efficient Fine-Tuning of 100+ LLMs (ACL 2024)

User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

The official Meta Llama 3 GitHub site

LLM training in simple, raw C/CUDA

PyTorch extensions for high performance and large scale training.

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

LLM inference in C/C++

A Gradio web UI for Large Language Models.

Get up and running with Llama 3.2, Mistral, Gemma 2, and other large language models.

PyTorch code and models for V-JEPA self-supervised learning from video.