ash-pbgs Goto Github PK
Name: Ash
Type: User
Bio: Aut viam inveniam aut faciam
Location: California, US
Name: Ash
Type: User
Bio: Aut viam inveniam aut faciam
Location: California, US
Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
Amazing Machine Learning Open Source Tools and Projects for the Past Year (v.2019)
List of references and online resources related to data science, machine learning and deep learning.
Contribute your amazing Machine Learning, Data Science, and Deep Learning repository
A comprehensive collection of multilingual datasets and large language models, meticulously curated for evaluating and enhancing the performance of large language models across diverse languages and tasks.
Transformer based Bangla Speech Recognition
CLIP (Contrastive Language–Image Pre-training) for Bangla.
A dead-simple image search and image-text matching system for Bangla using CLIP
Bangla text to speech, Multilingual (Bangla, English) real-time ([almost] in a GPU) speech synthesis library
BanglaSpeech2Text: An open-source offline speech-to-text package for Bangla language. Fine-tuned on the latest whisper speech to text model for optimal performance.
Large Language Model trained on Bhagwad Geeta Sanskrit Text and its Hindi Commentary
(Updated) Data api(china), Ctrip, Taobao, Pinduoduo, Xiaohongshu, WeChat article, Dianping, Kuaishou, JD.com, Ele.me, Bilibili, Zhihu, Weibo, Bigo, TEMU, Dewu, shopee, baidu index, and other data api; large language model training prediction
Recent strides in large language models (LLMs) have yielded remarkable performance, leveraging reinforcement learning from human feedback (RLHF) to significantly enhance gener. However, RLHF encounters numerous challenges, including the objective mismatch issue, leading to suboptimal performance in Natural Language Understanding (NLU) tasks.
A study guide for preparing for the GCP Professional Machine Learning Certification in one week or less.
By utilizing GPT4All-CLI, developers can effortlessly tap into the power of GPT4All and LLaMa without delving into the library's intricacies. Simply install the CLI tool, and you're prepared to explore the fascinating world of large language models directly from your command line!
Text to Speech system for Hindi language
Whisper is an automatic speech recognition (ASR) system trained on 680,000 hours of multilingual and multitask supervised data collected from the web. We show that the use of such a large and diverse dataset leads to improved robustness to accents, background noise and technical language. Moreover, it enables transcription in multiple languages, as
Sharing LLM basic ideas and code
Codes for paper: Formal Specification Generation via Prompt-based Large Language Models
PArallel Distributed Deep LEarning
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
Code to train RL agents along with Adversarial distrubance agents
Open-source software for robot simulation, integrated with OpenAI Gym.
Fast and accurate LR Spark Machine Learning Training for Image-Ads CTR prediction.
A Text Semantic Similarity model for Hindi language using Bert, a large number of different models are testes
Codebase for Efficient yet simple Reinforcement Learning Research Framework
Explaining Trees (LightGBM) with FastTreeShap (Shapley) and What if tool
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.