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A Python package to analyze and compare voice data using deep learning techniques
Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.
A personal GitHub page for a computer vision and deep learning researcher.
Determined is an open-source machine learning platform for distributed training, hyperparameter tuning, and resource management.
This open-source Python library is a training platform for building deep learning models to recognize captchas.
A JAX-based neural network library for building and training deep learning models.
ONNX-TensorRT is a C++ library that provides a TensorRT backend for the ONNX deep learning framework.
Organized resources for deep learning researchers and developers, including tutorials, frameworks, and libraries.
Comprehensive roadmap to become skilled in AI, ML, data science, and more from scratch.
A curated collection of deep learning research papers organized by task and with the latest state-of-the-art work labeled.
Alpa is a distributed training and serving framework for large-scale neural networks with auto-parallelization.
A curated list of the latest AI breakthroughs in 2022 with explanatory videos, articles, and code.
A high-performance Transformer library for accelerating AI models on NVIDIA GPUs, including low-precision support.
A native macOS app that allows users to chat with a local LLM without installing other software.
A PyTorch library for training Siamese and triplet networks for learning embeddings and similarity.
A simplified interface for TensorFlow that mimics Scikit Learn for building deep learning models.
A tactical manual to systematically maximize the performance of your deep learning models.
A curated collection of resources for data science and machine learning enthusiasts.
Pytorch implementation of various deep reinforcement learning algorithms for vibe coders.
A sparsity-aware deep learning inference runtime for CPUs, optimized for performance and efficiency.
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