DavidFM43's Stars
codecrafters-io/build-your-own-x
Master programming by recreating your favorite technologies from scratch.
karpathy/LLM101n
LLM101n: Let's build a Storyteller
roboflow/supervision
We write your reusable computer vision tools. 💜
srush/GPU-Puzzles
Solve puzzles. Learn CUDA.
allenai/OLMo
Modeling, training, eval, and inference code for OLMo
huggingface/parler-tts
Inference and training library for high-quality TTS models.
snakers4/silero-vad
Silero VAD: pre-trained enterprise-grade Voice Activity Detector
livekit/agents
Build real-time multimodal AI applications 🤖🎙️📹
xialeiliu/Awesome-Incremental-Learning
Awesome Incremental Learning
srush/Tensor-Puzzles
Solve puzzles. Improve your pytorch.
mistralai/mistral-finetune
webdataset/webdataset
A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.
mut-ex/gligen-gui
An intuitive GUI for GLIGEN that uses ComfyUI in the backend
huggingface/chat-macOS
Making the community's best AI chat models available to everyone.
OS-Copilot/OS-Copilot
An self-improving embodied conversational agent seamlessly integrated into the operating system to automate our daily tasks.
facebookresearch/MetaCLIP
ICLR2024 Spotlight: curation/training code, metadata, distribution and pre-trained models for MetaCLIP; CVPR 2024: MoDE: CLIP Data Experts via Clustering
ddupont808/GPT-4V-Act
AI agent using GPT-4V(ision) capable of using a mouse/keyboard to interact with web UI
KasperskyLab/triangle_check
microsoft/WindowsAgentArena
Windows Agent Arena (WAA) 🪟 is a scalable OS platform for testing and benchmarking of multi-modal AI agents.
mlcommons/algorithmic-efficiency
MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvements in both training algorithms and models.
IST-DASLab/PanzaMail
souvikmajumder26/Land-Cover-Semantic-Segmentation-PyTorch
🛣 Building an end-to-end Promptable Semantic Segmentation (Computer Vision) project from training to inferencing a model on LandCover.ai data (Satellite Imagery).
google/init2winit
chirag126/VOG
Estimating Example Difficulty using Variance of Gradients
sholtodouglas/scalingExperiments
dipamgoswami/FeCAM
Code for NeurIPS 2023 paper - FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning
a-martyn/resnet
An implementation of the original "ResNet" paper in Pytorch
loeweX/Custom-ConvLayers-Pytorch
A reimplementation of 2D Convolutional and Transposed Convolutional Layers in PyTorch, designed for easy modifications and analysis. Includes comprehensive explanations and testing.
deep-diver/paperqa-ui
aryol/GOTU