Easily train a good VC model with voice data <= 10 mins!
- change
- sovits
- vits
- voice
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OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
Topic Modelling for Humans
- gensim
- topic-modeling
- information-retrieval
- machine-learning
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
- bert
- sentence-encoding
- deep-learning
- clip-model
Translated[CVPR 2024 Oral] InternVL Family: A Pioneering Open-Source Alternative to GPT-4o. An open-source multimodal dialogue model with performance close to GPT-4o
- image-classification
- image-text-retrieval
- llm
- semantic-segmentation
Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
- tensorflow
- graph
- darknet
- deep-learning
Visual localization made easy with hloc
- deep-learning
- visual-localization
- feature-matching
- image-retrieval
Accelerated deep learning R&D
Go efficient fast multilingual NLP and text segmentation; support English, Chinese, Japanese and others.
- go
- segment
- nlp
- gse
Deep neural network to extract intelligent information from invoice documents.
- invoice
- invoice-management
- invoices
- invoice-insight
allRank is a framework for training learning-to-rank neural models based on PyTorch.
- learning-to-rank
- ndcg
- ranking
- information-retrieval
C++ implementation of a fast and memory efficient HAT-trie
- cpp
- trie
- hat-trie
- data-structures
Python library for working with Music Information Retrieval datasets
Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.
Natural Language Processing (NLP) library for Crystal
- string-distance
- stemmer
- inflector
- sentiment-analysis
LLM for Drug Editing, ICLR 2024
- chatgpt
- conversation
- drug
- drug-discovery
Collection of many countries websites consolidating their main official numbers in easy to read slides
AI & Machine Learning over historical baseball data using latest Microsoft AI & .NET Development Technologies
- blazor
- machine-learning
- artificial-intelligence
- baseball-statistics