czxttkl's Stars
e-p-armstrong/augmentoolkit
Convert Compute And Books Into Instruct-Tuning Datasets! Makes: QA, RP, Classifiers.
lyogavin/godmodeanimation
2D Game Animation in God Mode
FailSpy/abliterator
Simple Python library/structure to ablate features in LLMs which are supported by TransformerLens
google-deepmind/language_modeling_is_compression
georgeyiasemis/Mirror-Descent-and-Interacting-Mirror-Descent
agent-husky/Husky-v1
Code for Husky, an open-source language agent that solves complex, multi-step reasoning tasks. Husky v1 addresses numerical, tabular and knowledge-based reasoning tasks.
wandb/wandb
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
tcapelle/llm_recipes
A set of scripts and notebooks on LLM finetunning and dataset creation
bkitano/llama-from-scratch
Llama from scratch, or How to implement a paper without crying
galatolofederico/vanilla-llama
Plain pytorch implementation of LLaMA
FenTechSolutions/CausalDiscoveryToolbox
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
Dao-AILab/flash-attention
Fast and memory-efficient exact attention
EleutherAI/lm-evaluation-harness
A framework for few-shot evaluation of language models.
mosaicml/llm-foundry
LLM training code for Databricks foundation models
marceloprates/prettymaps
A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.
google-research/rliable
[NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.
dair-ai/Mathematics-for-ML
🧮 A collection of resources to learn mathematics for machine learning
wnzhang/rtb-papers
A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.
EthicalML/awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
cpark321/uncertainty-deep-learning
rmccorm4/Tiny-Imagenet-200
🔬 Some personal research code on analyzing CNNs. Started with a thorough exploration of Stanford's Tiny-Imagenet-200 dataset.
andyljones/reinforcement-learning-discord-wiki
The RL discord wiki
dmlc/decord
An efficient video loader for deep learning with smart shuffling that's super easy to digest
juho-lee/set_transformer
Pytorch implementation of set transformer
bentrevett/pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Rintarooo/TSP_DRL_PtrNet
"Neural Combinatorial Optimization with Reinforcement Learning"[Bello+, 2016], Traveling Salesman Problem solver
YongfeiYan/Gumbel_Softmax_VAE
PyTorch implementation of a Variational Autoencoder with Gumbel-Softmax Distribution
SNAS-Series/SNAS-Series
This repo contains the PyTorch implementation of the SNAS-Series papers
yzhao062/SUOD
(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection)
pemami4911/sinkhorn-policy-gradient.pytorch
Code accompanying the paper "Learning Permutations with Sinkhorn Policy Gradient"