A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).

Reference implementation for DPO (Direct Preference Optimization)

Multiple Protein Structure Alignment at Scale with FoldMason

List of AI Residency Programs

Code for the paper "Artifacts or Abduction: How Do LLMs Answer Multiple-Choice Questions Without the Question?"

🔥🔥🔥Latest Papers, Codes and Datasets on Vid-LLMs.

Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

Training Sparse Autoencoders on Language Models

llama3 implementation one matrix multiplication at a time

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…

Deep learning for dummies. All the practical details and useful utilities that go into working with real models.

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

Uncertainty-aware representation learning (URL) benchmark

This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.

Pytorch implementation of "Genie: Generative Interactive Environments", Bruce et al. (2024).

DSPy: The framework for programming—not prompting—foundation models

Simplifying reinforcement learning for complex game environments

IMPI / IMM / IRMC / IDRAC / ILO / KVM java starter

LLM101n: Let's build a Storyteller

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

Tile primitives for speedy kernels

Attributing predictions made by the Inception network using the Integrated Gradients method

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.

An awesome README template to jumpstart your projects!

🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning

Forward Pass Learning and Inference Library, for neural networks and general intelligence, Signal Propagation (sigprop)

Pytorch implementation of convolutional neural network visualization techniques