🦉 Data Versioning and ML Experiments
- data-science
- machine-learning
- reproducibility
- data-version-control
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🦉 Data Versioning and ML Experiments
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A hyperparameter optimization framework
RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.
NLTK Source
TranslatedLlama Chinese community: compiles the latest Llama learning materials in real time and builds the best open-source ecosystem of Chinese Llama large models, fully open source and commercially usable
Image augmentation for machine learning experiments.
A list of all named GANs!
ChatterBot is a machine learning, conversational dialog engine for creating chat bots
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Self-evolving agent: grows skill tree from 3.3K-line seed, achieving full system control with 6x less token consumption
TranslatedTransfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-Transfer learning
Peach: Local-first video metadata scraper and media manager.
OpenSnitch is a GNU/Linux interactive application firewall inspired by Little Snitch.
A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources. Featuring the Fiery Meter of AWSome.
Convert Machine Learning Code Between Frameworks
Automate Creation of YouTube Shorts using MoviePy.
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Python toolkit for quantitative finance
Open Machine Learning Compiler Framework
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
TranslatedMachine learning tutorials
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
A MNIST-like fashion product database. Benchmark :point_down: