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Rabin Banjade's Projects

bert-relation-extraction icon bert-relation-extraction

PyTorch implementation for "Matching the Blanks: Distributional Similarity for Relation Learning" paper

big-bench icon big-bench

Beyond the Imitation Game collaborative benchmark for enormous language models

deep-keyphrase icon deep-keyphrase

seq2seq based keyphrase generation model sets, including copyrnn copycnn and copytransfomer

flair icon flair

A very simple framework for state-of-the-art Natural Language Processing (NLP)

gokyori.github.io icon gokyori.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

guidance icon guidance

A guidance language for controlling large language models.

langchain icon langchain

⚑ Building applications with LLMs through composability ⚑

litellm icon litellm

Call all LLM APIs using the OpenAI format. Use Bedrock, Azure, OpenAI, Cohere, Anthropic, Ollama, Sagemaker, HuggingFace, Replicate (100+ LLMs)

llm-course icon llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

minimal-mistakes icon minimal-mistakes

:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.

mlresources icon mlresources

Repository for Machine Learning resources, frameworks, and projects. Managed by the DLSU Machine Learning Group.

nl-augmenter icon nl-augmenter

NL-Augmenter 🦎 β†’ 🐍 A Collaborative Repository of Natural Language Transformations

nn-template icon nn-template

Generic template to bootstrap your PyTorch project.

pdfplumber icon pdfplumber

Plumb a PDF for detailed information about each char, rectangle, line, et cetera β€”Β and easily extract text and tables.

pke icon pke

Python Keyphrase Extraction module

polyfuzz icon polyfuzz

Fuzzy string matching, grouping, and evaluation.

pytudes icon pytudes

Python programs, usually short, of considerable difficulty, to perfect particular skills.

rangesonmobile icon rangesonmobile

Source code and data analysis scripts for a graphical perception study focusing on the visual display of quantitative ranges on mobile devices.

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