Some implementations of the Neural Networks Quantization algorithms.
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? Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
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??? 60+ Implementations/tutorials of deep learning papers with side-by-side notes ?; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), ? reinforcement learning (ppo, dqn), capsnet, distillation, ... ?
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
Clone a voice in 5 seconds to generate arbitrary speech in real-time
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TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
