grbagwe's Stars
papers-we-love/papers-we-love
Papers from the computer science community to read and discuss.
josephmisiti/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
karpathy/LLM101n
LLM101n: Let's build a Storyteller
google-research/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
dennybritz/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
microsoft/AirSim
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
carla-simulator/carla
Open-source simulator for autonomous driving research.
TonnyL/Awesome_APIs
:octocat: A collection of APIs
ShishirPatil/gorilla
Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)
simonw/llm
Access large language models from the command-line
amusi/awesome-object-detection
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
tensorlayer/TensorLayer
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
aamini/introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Lightning-AI/lit-llama
Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.
Trusted-AI/adversarial-robustness-toolbox
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
ShangtongZhang/DeepRL
Modularized Implementation of Deep RL Algorithms in PyTorch
flow-project/flow
Computational framework for reinforcement learning in traffic control
tamlhp/awesome-machine-unlearning
Awesome Machine Unlearning (A Survey of Machine Unlearning)
Vision-Intelligence-and-Robots-Group/Best-Incremental-Learning
An Incremental Learning, Continual Learning, and Life-Long Learning Repository
DmitryRyumin/AAAI-2024-Papers
AAAI 2024 Papers: Explore a comprehensive collection of innovative research papers presented at one of the premier artificial intelligence conferences. Seamlessly integrate code implementations for better understanding. ⭐ experience the forefront of progress in artificial intelligence with this repository!
mmasana/FACIL
Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.
artix41/awesome-quantum-ml
Curated list of awesome papers and resources in quantum machine learning
HongshengHu/membership-inference-machine-learning-literature
ContinualAI/continual-learning-baselines
Continual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and other strategies.
GT-RIPL/CODA-Prompt
PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"
usccolumbia/Awesome-Machine-learning-for-discovery-of-physical-laws
A curated list of awesome resources on using machine learning and data science for discovery of physical laws
naderAsadi/CLHive
A PyTorch framework for Continual Learning research.
lianziqt/CFeD
nhatminh/Python
All Algorithms implemented in Python
grbagwe/FCIL
This is the formal code implementation of the CVPR 2022 paper 'Federated Class Incremental Learning'.