MacOS's repositories
blockchain-oracles-data-collection
Software Patterns for Blockchain Oracles
dance
DANCE: A Deep Learning Library and Benchmark for Single-Cell Analysis
DeepLabCut
Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
dtype_diet
Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM
fa-custom-icon-demo
Demo of using a custom SVG icon within the Font Awesome 5 SVG with JS framework
FocalNet
[NeurIPS 2022] Official code for "Focal Modulation Networks"
ijepa
Official codebase for I-JEPA, the Image-based Joint-Embedding Predictive Architecture. First outlined in the CVPR paper, "Self-supervised learning from images with a joint-embedding predictive architecture."
llama
Inference code for LLaMA models
llmware
Providing enterprise-grade LLM-based development framework, tools, and fine-tuned models.
minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
ML-Papers-Explained
Explanation to key concepts in ML
modern-cpp-template
A template for modern C++ projects using CMake, Clang-Format, CI, unit testing and more, with support for downstream inclusion.
moderncpp-project-template
A Modern C++ cross-platform Project Template with CMake, conan (optional), cppcheck (optional) and clang-format (optional)
nebullvm
Plug and play modules to optimize the performances of your AI systems 🚀
openai-cookbook
Examples and guides for using the OpenAI API
Prompt-Engineering-Guide
:octopus: Guides, papers, lecture, and resources for prompt engineering
pytorch-frame
Tabular Deep Learning Library for PyTorch
qEndpoint
A highly scalable triple store with full-text and GeoSPARQL support
reproducibility-study
Original code is from https://github.com/annguy/time-aware-pbpm and was adapted/fixed.
skills-review-pull-requests
My clone repository
tmu
Implements the Tsetlin Machine, Coalesced Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Machine, with support for continuous features, drop clause, Type III Feedback, focused negative sampling, multi-task classifier, autoencoder, literal budget, and one-vs-one multi-class classifier.
tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
ultralytics
YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite
unsloth
2-5X faster 70% less memory QLoRA & LoRA finetuning
xai-org-grok
Grok open release
Yi
A series of large language models trained from scratch by developers @01-ai