Accepted as [NeurIPS 2024] Spotlight Presentation Paper
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An adversarial example library for constructing attacks, building defenses, and benchmarking both
Portfolio and risk analytics in Python
COCO API - Dataset @ http://cocodataset.org/
TranslatedTensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0 version introductory example code and hands-on tutorials.
- tensorflow
- tensorflow-examples
- tensorflow-tutorials
- tensorflow-2
TensorFlow documentation
- tensorflow
- tensorflow-tutorials
- tensorflow-examples
- documentation
Code for Tensorflow Machine Learning Cookbook
- tensorflow
- tensorflow-cookbook
- linear-regression
- neural-network
Silero Models: pre-trained text-to-speech models made embarrassingly simple
- speech-to-text
- pretrained-models
- pytorch
- colab
A scikit-learn compatible neural network library that wraps PyTorch
Pytorch🍊🍉 is delicious, just eat it! 😋😋
Financial portfolio optimization in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
- finance
- portfolio-optimization
- portfolio-management
- quantitative-finance
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
- time-series-classification
- deep-learning
- fastai
- pytorch
Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.
- chinese
- computer-vision
- multi-modal-learning
- nlp
Simple tutorials using Google's TensorFlow Framework
All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
- deep-learning
- deep-neural-networks
- tensorflow
- tensorflow2
This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!
YOLOv6: a single-stage object detection framework dedicated to industrial applications.
Implement a reasoning LLM in PyTorch from scratch, step by step
250+ Fine-tuning & RL Notebooks for text, vision, audio, embedding, TTS models.
- unsloth
fast.ai Courses
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
"Probabilistic Machine Learning" - a book series by Kevin Murphy
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper
- asr
- speaker-diarization
- speech
- speech-recognition