!pip install about-me
name = tf.Variable("Tarun R Jain").numpy()
experience = tf.Sequential()
experience.add("DevRel at AI Planet")
experience.add("Community Lead at Embedchain.ai")
experience.add("Google Summer of Code 2023 (GSoC23) at caMicroscope")
experience.add("Google Developer Expert in Machine Learning")
experience.add("Pie&AI Bangalore Ambassador at Deep Learning.ai")
experience.add("AI With Tarun - YouTube")
experience.compile(
volunteer = ["TensorFlow User Group Bangalore- Assisstant Organizer","Coding Ninjas Campus Ambassdor"],
skill = ["Deep Learning", "AI", "FPGA","Image Processing","TensorFlow","PyTorch","Transformers","OpenVino","Django","Flask",],
tool = ["Azure","Jupyter NoteBook","Git-GitHub","Notion","iVerilog","GTKwave","ChatGPT","WordPress","Docker"],
)
history = experience.fit(computer_vision,nlp,epochs=365)
I work my magic
-
AI Planet
- Banglore, India
-
00:33
(UTC +05:30) - https://tarunjain.netlify.app/
- @AIwithTarun
- @TRJ_0751
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Awesome-Fine-Tuning-LLMs
Awesome-Fine-Tuning-LLMs PublicFine Tune LLama2 LLM model using LoRA - Peft. Plus implementation of Fast tokenizer
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100DaysOfML
100DaysOfML Public100 Days Of Machine Learning. New Content in every 1-2 day and projects every week. The massive 100DaysOfML in building
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