Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
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The #1 AI Harness for Building Resumes, PDFs, Cover Letters & more, locally with 100+ LLMs support.
- text-similarity
- natural-language-processing
- word-embeddings
- python
Translated100+ Chinese Word Vectors
- chinese
- chinese-word-segmentation
- embeddings
- word-embeddings
Refine high-quality datasets and visual AI models
Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
LIBSVM -- A Library for Support Vector Machines
Build LLM-powered applications in Ruby
C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.
- reinforcement-learning
- parallel-processing
- cpp17
- pybind11
Evaluation code for various unsupervised automated metrics for Natural Language Generation.
- natural-language-generation
- natural-language-processing
- nlg
- nlp
GRASS - free and open-source geospatial processing engine
- grass-gis
- geospatial
- geospatial-analysis
- raster
Fast Clojure Matrix Library
Fast vectorization, topic modeling, distances and GloVe word embeddings in R.
- word2vec
- text-mining
- natural-language-processing
- glove
A toolbox of AI modules written in Swift: Graphs/Trees, Support Vector Machines, Neural Networks, PCA, K-Means, Genetic Algorithms
The open source Meme Search Engine and Finder. Free and built to self-host locally with Python, Ruby, and Docker.
VexCL is a C++ vector expression template library for OpenCL/CUDA/OpenMP
- opencl
- cuda
- c-plus-plus
- gpgpu
A simple deep learning library for estimating a set of tags and extracting semantic feature vectors from given illustrations.
Language model search engine built on a vector database and an anything key/value store.
- information-retrieval
- search-engine
- vector-space-model
- machine-learning
Extract knowledge from all information sources using gpt and other language models. Index and make Q&A session with information sources.
Sparse matrix formats for linear algebra supporting scientific and machine learning applications
- go
- golang
- matrix
- scientific-computing
Go gopher Vector Data [.ai, .svg]
Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.
- svm
- regression
- classification
- machine-learning
Ruby wrapper for the Qdrant vector search database API
- api-client
- qdrant
- ruby
- vector-search
Ruby wrapper for the Weaviate vector search database API
- api-client
- ruby
- vector-search
- weaviate