Highlights
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Lists (30)
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🏫 Basics
🧪 bio
🕶 Braille Recognition
🧲 Contrastive Learning
🧗♀️ DeepClimb
💬 Interesting Writings
Works that persuasively resolves long-lasting questions of mine⚡️ JAX/FLAX
👄 Lip Reading
Visual-Speech Recognition🤖 LLM Agents
🦾 LLM Apps
Applications using Large Language Models🥞 LLM Datasets & Models
Including Domain Specific Finetuned Models and Benchmark Datasets💯 LLM Evaluation
Evaluation using LLM, or evaluation on LLM's outputs🔥 LLM Finetuning
Finetuning and Instruction Tuning🔌 LLM Plugin
❄️ LLM Prompts
Including Prompt Tuning, Chain of Thoughts and Tree of Thoughts🔍 LLM + Retrieval
↔️ LLM with Multimodality
⛳️ long sequence
🔐 ML Privacy & Security
🪡 Multimodal Learning
⭐️ NER
📸 OCR
📈 Quantitative Finance
⏲ Reinforcement Learning
RL examples including RLHF🦀 Rust Project Examples
🙏 State Space Representation
🚄 transformers
Implementations & Architecture Advancements in Transformers🎥 Video Representation Learning
↔️ vision-language
Multimodal Examples of Text and Images🔎 Visualization
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Starred repositories
Code for the ICML 2024 paper "Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment"
The official implementation of the paper "Reducing Fine-Tuning Memory Overhead by Approximate and Memory-Sharing Backpropagation"
Mixture-of-Experts for Large Vision-Language Models
This is the repository of HaluEval, a large-scale hallucination evaluation benchmark for Large Language Models.
OLMoE: Open Mixture-of-Experts Language Models
Scikit-learn friendly library to interpret, and prompt-engineer text datasets using large language models.
Transformer implementation for "Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion"
Pytorch implementation of Transfusion, "Predict the Next Token and Diffuse Images with One Multi-Modal Model", from MetaAI
Pre-train LLMs faster with Early Weight Averaging.
Switch EMA: A Free Lunch for Better Flatness and Sharpness
Official implementation of Hierarchical Context Merging: Better Long Context Understanding for Pre-trained LLMs (ICLR 2024).
Pytorch implementation of our paper accepted by ICML 2024 -- CaM: Cache Merging for Memory-efficient LLMs Inference
Doing simple retrieval from LLM models at various context lengths to measure accuracy
A library for mechanistic interpretability of GPT-style language models
Minimalistic large language model 3D-parallelism training
Freeing data processing from scripting madness by providing a set of platform-agnostic customizable pipeline processing blocks.
PAIR.withgoogle.com and friend's work on interpretability methods
A user-friendly library for reproducible video moment retrieval and highlight detection.
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
Together Mixture-Of-Agents (MoA) – 65.1% on AlpacaEval with OSS models
Code repo for "WebArena: A Realistic Web Environment for Building Autonomous Agents"
Official repository for EXAONE built by LG AI Research
Official repository for KoMT-Bench built by LG AI Research